Chenglu Zhu

According to our database, Chenglu Zhu authored at least 24 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology.

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection.

Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MI-Gen: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images.

Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Lin Yang

CoRR, 2023

Unleashing the Power of Prompt-driven Nucleus Instance Segmentation.

Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Yuxuan Sun, Lin Yang

CoRR, 2023

Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis.

Honglin Li, Yunlong Zhang, Chenglu Zhu, Jiatong Cai, Sunyi Zheng, Lin Yang

CoRR, 2023

Test-Time Training for Semantic Segmentation with Output Contrastive Loss.

Yunlong Zhang, Yuxuan Sun, Sunyi Zheng, Zhongyi Shui, Chenglu Zhu, Lin Yang

CoRR, 2023

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification.

Yunlong Zhang, Honglin Li, Yuxuan Sun, Sunyi Zheng, Chenglu Zhu, Lin Yang

CoRR, 2023

Semi-supervised Cell Recognition under Point Supervision.

Zhongyi Shui, Yizhi Zhao, Sunyi Zheng, Yunlong Zhang, Honglin Li, Shichuan Zhang, Xiaoxuan Yu, Chenglu Zhu, Lin Yang

CoRR, 2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Zhongyi Shui, Xiaoxuan Yu, Yizhi Zhao, Honglin Li, Yunlong Zhang, Ruojia Zhao, Xinheng Lyu, Lin Yang

CoRR, 2023

Exploring Unsupervised Cell Recognition with Prior Self-activation Maps.

Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System.

Yuxuan Sun, Chenglu Zhu, Yunlong Zhang, Honglin Li, Pingyi Chen, Lin Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification.

Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang, Sunyi Zheng, Lin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Geometric discord for multiqubit systems.

Chenglu Zhu, Bin Hu, Bo Li, Zhi-Xi Wang, Shao-Ming Fei

Quantum Inf. Process., 2022

Complex carotid artery segmentation in multi-contrast MR sequences by improved optimal surface graph cuts based on flow line learning.

Chenglu Zhu, Xiaoyan Wang, Shengyong Chen, Zhongzhao Teng, Cong Bai, Xiaojie Huang, Ming Xia, Zhanpeng Shao, Zheng Gu, Peiliang Sun

Medical Biol. Eng. Comput., 2022

Automatic and accurate segmentation of peripherally inserted central catheter (PICC) from chest X-rays using multi-stage attention-guided learning.

Xiaoyan Wang, Luyao Wang, Ye Sheng, Chenglu Zhu, Nan Jiang, Cong Bai, Ming Xia, Zhanpeng Shao, Zheng Gu, Xiaojie Huang, Ruiyi Zhao, Zhenjie Liu

Neurocomputing, 2022

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images.

Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang

CoRR, 2022

ChrSNet: Chromosome Straightening Using Self-attention Guided Networks.

Sunyi Zheng, Jingxiong Li, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology.

Yunlong Zhang, Yuxuan Sun, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

End-to-End Cell Recognition by Point Annotation.

Zhongyi Shui, Shichuan Zhang, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image.

Chenglu Zhu, Yuxuan Sun, Honglin Li, Can Cui, Shichuan Zhang, Jiatong Cai, Yang Ling

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Weakly Supervised Learning For Cell Recognition In Immunohistochemical Cytoplasm Staining Images.

Shichuan Zhang, Chenglu Zhu, Honglin Li, Jiatong Cai, Lin Yang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Category Separation For Weakly Supervised Multi-Class Cell Counting.

Jiatong Cai, Chenglu Zhu, Pingyi Chen, Shichuan Zhang, Honglin Li, Yuxuan Sun, Lin Yang

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning.

Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

CoRR, 2021

Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-Specific Pruning.

Jiatong Cai, Chenglu Zhu, Can Cui, Honglin Li, Tong Wu, Shichuan Zhang, Lin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021